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function Correlated(M, MFilter) % Kalman filter simulation using correlated process and measurement noise. % This illustrates the improvement in filter results that can be attained % when the cor

% Measurement and simulation data for the 2D EIT Package % % Real measurements on a "2D tank" % % bubble1.dat, bubble2.dat, bubble3.dat, bubble4.dat % % Precomputed mesh data % % meshdata.ma

% MOM_for_Antenna.m % 本函数用于实现用矩量法和海伦积分方程球解对称天线电流分布 % % wave_length_value 波长 % measurement 物体电尺寸 % v0 电压常数 % count_point 待求点数 % range 求解的天线归一化长度 % a 导体半径 % k 波数 % l 天线长度 % ste

n=3; %number of state q=0.1; %std of process r=0.1; %std of measurement Q=q^2*eye(n); % covariance of process R=r^2; % covariance of measurement f=@(x)[x(2);x(3);0.05*x(1)*(x

%KF_LHOOD Kalman Filter measurement likelihood % % Syntax: % LH = KF_LHOOD(X,P,Y,H,R) % % In: % X - Nx1 state mean % P - NxN state covariance % Y - Dx1 measurement vector. % H - Me

% Measurement model function for the random sine signal demo % Copyright (C) 2007 Jouni Hartikainen % % This software is distributed under the GNU General Public % Licence (version 2 or later); plea

% Jacobian of the measurement model function in the random sine signal demo % Copyright (C) 2007 Jouni Hartikainen % % This software is distributed under the GNU General Public % Licence (version 2

% Hessian of the measurement model function in the random sine signal demo % Copyright (C) 2007 Jouni Hartikainen % % This software is distributed under the GNU General Public % Licence (version 2 o

% Measurement model function for reentry demo. % % Copyright (C) 2005-2006 Simo S鋜kk

% Jacobian of the measurement model function in reentry demo. % % Copyright (C) 2005-2006 Simo S鋜kk